This paper introduces a new method using dyadic decision trees for estimating a classification or a regression function in a multiclass classification problem. The estimator is bas...
A sequential decision problem, based on the task of identifying the species of trees given acoustic echo data collected from them, is considered with well-known stochastic classifi...
We propose a parallel architecture for implementing the interpolation step in the Koetter-Vardy soft-decision ReedSolomon decoding algorithm. The key feature is the embedding of b...
Warren J. Gross, Frank R. Kschischang, P. Glenn Gu...
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
d Set Abstraction using SAT Edd Barrett Andy King School of Computing, University of Kent, CT2 7NF, UK Symbolic decision trees are not the only way to correlate the relationship b...